Movielogr

movie poster

Rating: 3.5 stars

Tags

On Demand

Seen 1 time

Seen on: 01/01/2010

View on: IMDb | TMDb

Taking Woodstock (2009)

Directed by Ang Lee

Comedy

Most recently watched by BTSjunkie, noahphex

Overview

The story of Elliot Tiber and his family, who inadvertently played a pivotal role in making the famed Woodstock Music and Arts Festival into the happening that it was. When Elliot hears that a neighboring town has pulled the permit on a hippie music festival, he calls the producers thinking he could drum up some much-needed business for his parents’ run-down motel. Three weeks later, half a million people are on their way to his neighbor’s farm in White Lake, New York, and Elliot finds himself swept up in a generation-defining experience that would change his life–and American culture–forever.

Rated R | Length 120 minutes

Actors

Henry Goodman | Imelda Staunton | Paul Dano | Kelli Garner | Richard Thomas | Christina Kirk | Liev Schreiber | Eugene Levy | Kevin Chamberlin | Emile Hirsch | Mamie Gummer | Jeffrey Dean Morgan | Bette Henritze | Dan Fogler | Kevin Sussman | Skylar Astin | Katherine Waterston | Demetri Martin | Edward Hibbert | Adam Pally | Josh Safdie | Sondra James | Clark Middleton | Daniel Eric Gold | Caitlin Fitzgerald | Jonathan Groff | David Lavine | Lee Wong | Anthoula Katsimatides

Viewing Notes

Ang Lee looks at how Woodstock found a home and got off the ground, via the perspective of a hotel owner. This is based on a book of the same name, however, after reading about it, the Yasgur family who’s farm Woodstock was thrown on said that Elliot Tiber (Dimitri Martin) had nothing to do with hooking up Woodstock Ventures with him.

Either way the movie is lots of fun, historically accurate or not. I enjoyed Martin’s subtle character of a guy just trying to do his best for his small town and to support his families failing motel. Just seeing him interact with the Woodstock people and the amounts of money at work is pretty mindblowing.

Ang Lee put together a very solid group of people. Emil Hersch plays the troubled Vietnam vet whos eyes get opened by the show, Dan Fogler is the hippy actor who’s troupe lives in Tiber’s barn, Imelda Staunton (from Harry Potter) is his Tiber’s very outrageous and pig headed mother, Eugene Levy is Max Yasgur the farm and land owner where Woodstock was held and then Liev Schriber is a transvestite ex-marine they use for security. Lots of good actors and they’re all great in it.

Lots of heart, laughs and very little of the actual concert, which was fine because we’ve seen plenty of that but none of the behind the scenes of how things got off the ground.

Even if it’s not historically accurate, the film gives a great sense of how much was accomplished and how they went about it.

Highly enjoyable for me.

Comments

No comments yet. Log in and be the first!

  BENCHMARKS  
Loading Time: Base Classes  0.0016
Controller Execution Time ( Members / Movie Detail )  0.0283
Total Execution Time  0.0300
  GET DATA  
No GET data exists
  MEMORY USAGE  
547,592 bytes
  POST DATA  
No POST data exists
  URI STRING  
members/noahphex/movie_detail/3984
  CLASS/METHOD  
members/movie_detail
  DATABASE:  movielogr_dev (Members:$db)   QUERIES: 17 (0.0069 seconds)  (Hide)
0.0003   SELECT 1
FROM 
`ml_sessions`
WHERE `id` = '8c6a6d5507518aa453dbf5b05b8575e3c1de5ea3'
AND `ip_address` = '216.73.216.137' 
0.0002   SELECT GET_LOCK('0a8ad967b9240e07b20226868c0e9a36'300) AS ci_session_lock 
0.0003   SELECT `data`
FROM `ml_sessions`
WHERE `id` = '8c6a6d5507518aa453dbf5b05b8575e3c1de5ea3'
AND `ip_address` = '216.73.216.137' 
0.0003   SELECT `username`, `user_id`
FROM `ml_users`
WHERE `username` = 'noahphex'
 
LIMIT 1 
0.0003   SELECT `MV`.`title_id`, `MT`.`tmdb_id`
FROM `ml_movie_titles` `MT`
LEFT JOIN `ml_movies` `MVON `MV`.`title_id` = `MT`.`title_id`
WHERE `MV`.`movie_id` = 3984
AND `MV`.`user_id` = 8
 LIMIT 1 
0.0005   SELECT `star_rating`
FROM `ml_users`
WHERE `ml_users`.`user_id` = 8
 LIMIT 1 
0.0002   SET SESSION group_concat_max_len 12288 
0.0019   SELECT `MV`.`title_id`, `MV`.`movie_id`, COUNT(DISTINCT MV.title_id) AS mv_count, `title`, `prefix`, `year`, `imdb_link`, `MT`.`imdb_id`, `MT`.`tmdb_id`, `overview`, `certification`, `runtime`, `genre_id_01`, `genre_id_02`, `genre_id_03`, MAX(MP.filename) AS filename, `G1`.`genre_nameAS `genre_name_01`, `G2`.`genre_nameAS `genre_name_02`, `G3`.`genre_nameAS `genre_name_03`, `date_viewed`, `notes`, `MV`.`format_id`, `FMT`.`format_name`, `MV`.`source_id`, `SRC`.`source_name`, `MV`.`device_id`, `DVC`.`device_name`, `MV`.`rating_id`, `STR`.`star_rating`, `rewatch`, GROUP_CONCAT(DISTINCT(DR.director_name) ORDER BY DR.tmdb_director_id ASC SEPARATOR "|") AS directorsGROUP_CONCAT(DISTINCT(DR.tmdb_director_id) ORDER BY DR.tmdb_director_id ASC SEPARATOR "|") AS director_idsGROUP_CONCAT(DISTINCT(ACT.actor_name) ORDER BY ACT.tmdb_actor_id ASC SEPARATOR "|") AS actorsGROUP_CONCAT(DISTINCT(ACT.tmdb_actor_id) ORDER BY ACT.tmdb_actor_id ASC SEPARATOR "|") AS actor_ids
FROM 
`ml_movie_titles` `MT`
LEFT JOIN `ml_movies` `MVON `MV`.`title_id` = `MT`.`title_id`
LEFT JOIN `ml_movie_posters` `MPON `MV`.`title_id` = `MP`.`title_id`
LEFT JOIN `ml_lookup_genres` `G1ON `MV`.`genre_id_01` = `G1`.`genre_id`
LEFT JOIN `ml_lookup_genres` `G2ON `MV`.`genre_id_02` = `G2`.`genre_id`
LEFT JOIN `ml_lookup_genres` `G3ON `MV`.`genre_id_03` = `G3`.`genre_id`
LEFT JOIN `ml_lookup_formats` `FMTON `MV`.`format_id` = `FMT`.`format_id`
LEFT JOIN `ml_lookup_sources` `SRCON `MV`.`source_id` = `SRC`.`source_id`
LEFT JOIN `ml_lookup_devices` `DVCON `MV`.`device_id` = `DVC`.`device_id`
LEFT JOIN `ml_movie_ratings_five_star` `STRON `MV`.`rating_id` = `STR`.`rating_id`
LEFT JOIN `ml_junction_movies_directors` `JMDON `MT`.`title_id` = `JMD`.`title_id`
LEFT JOIN `ml_directors_new` `DRON `JMD`.`tmdb_director_id` = `DR`.`tmdb_director_id`
LEFT JOIN `ml_junction_movies_actors` `JMAON `MT`.`title_id` = `JMA`.`title_id`
LEFT JOIN `ml_actors_new` `ACTON `JMA`.`tmdb_actor_id` = `ACT`.`tmdb_actor_id`
WHERE `MV`.`movie_id` = 3984
AND `MV`.`user_id` = 8
ORDER BY 
`date_viewedDESC 
0.0003   SET SESSION group_concat_max_len 1024 
0.0003   SELECT `event_title`, `JME`.`event_id`
FROM `ml_junction_movies_events` `JME`
LEFT JOIN `ml_movie_events` `EVON `JME`.`event_id` = `EV`.`event_id`
WHERE `JME`.`movie_id` = 3984 
0.0004   SELECT `tag`, `JMT`.`tag_id`
FROM `ml_junction_movies_tags` `JMT`
LEFT JOIN `ml_tags` `MTON `JMT`.`tag_id` = `MT`.`tag_id`
WHERE `JMT`.`movie_id` = 3984 
0.0003   SELECT `star_rating`
FROM `ml_users`
WHERE `ml_users`.`user_id` = 8
 LIMIT 1 
0.0002   SELECT `rating_id`
FROM `ml_movies` `MV`
WHERE `MV`.`user_id` = 8
AND `MV`.`movie_id` = 3984
 LIMIT 1 
0.0002   SELECT `star_rating`
FROM `ml_movie_ratings_five_star` `MR`
WHERE `MR`.`rating_id` = '16'
 
LIMIT 1 
0.0004   SELECT `MV2`.`date_viewed`, `MV2`.`movie_id`
FROM `ml_movies` `MV`
LEFT JOIN `ml_movies` `MV2ON `MV`.`title_id` = `MV2`.`title_idAND `MV`.`user_id` = `MV2`.`user_id`
WHERE `MV`.`user_id` = 8
AND `MV`.`movie_id` = 3984
GROUP BY 
`MV2`.`movie_id`
ORDER BY `MV2`.`date_viewedDESC 
0.0003   SELECT `comment_id`, `comment`, `commenter_id`, `timestamp`, `username`, `email_address`
FROM `ml_comments` `MC`
JOIN `ml_users` `MUON `MU`.`user_id` = `MC`.`commenter_id`
WHERE `movie_id` = 3984 
0.0004   SELECT `username`, `date_viewed`, `MV`.`movie_id`
FROM `ml_users` `MU`
JOIN `ml_movies` `MVON `MV`.`user_id` = `MU`.`user_id`
JOIN `ml_movie_titles` `MTON `MT`.`title_id` = `MV`.`title_id`
WHERE `MT`.`title_id` = 2493
ORDER BY 
`date_viewedDESC
 LIMIT 10 
  HTTP HEADERS  (Show)
  SESSION DATA  (Show)
  CONFIG VARIABLES  (Show)